ArtQuant Gold · Parameter Set

A parameter set (.set file) purpose-built for ArtQuant Gold — MT5 inputs tuned for a $500 account at 1:1000 leverage on XAUUSD gold, H1. This listing is the parameter file and does not include the EA itself: own ArtQuant Gold (v3.2 or later) here or on MQL5 first, then run it with this set.

On a grid EA, the parameters are the survival line

ArtQuant Gold is a multi-module grid / averaging system — it adds into the move to smooth cost. On this kind of EA the inputs are not a performance dial, they decide whether it survives a one-way market: how many modules run, how big each step is, where total lots are capped, when drawdown protection steps in. Loosen any one of them and a steady account becomes a single blow-up. That is exactly why copying a random set off a forum is a bad idea.

This .set is a set of trade-offs we converged on by backtesting repeatedly on real-tick data against what a $500 account can actually absorb — biased toward survival over headline return.

Where the numbers on this page come from

The account balance curve, the monthly returns (including winning/losing trades per month) and every metric are read straight out of the raw MT5 Strategy Tester report we produced in-house, covering the whole of 2025 and 2026 year to date: every tick based on real ticks, 50 ms execution delay, 1:1000 leverage, $500 starting deposit, on the Tickmill account linked in our footer. Spread and slippage are the ones actually quoted during the test window — no idealised assumptions, no cosmetic edits.

Read the drawdown, not just the return. A grid EA almost always has a pretty balance curve; the real risk hides in max equity drawdown (which includes floating loss). Both figures are listed above — please read them as a pair.

What is in the package

• The .set parameter file — load it from the EA's Inputs tab → Load
• A README with the load steps and the exact backtest conditions
• A short note about this store

Risk note: grid / averaging strategies concentrate risk sharply in extreme one-way markets, and past backtest results do not indicate future returns. A parameter set changes how the EA behaves, not how the market behaves; spread, slippage and swap differ between brokers, so the same set will not reproduce identical results elsewhere. Trade only with money you can afford to lose, and set your own total-lot cap and drawdown protection. Digital goods are non-refundable once delivered.